Performance considerations in Tableau - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is the main goal of performance optimization in Tableau?

To make dashboards and reports load and respond quickly, providing a smooth user experience.

beginner

How does reducing the number of marks on a Tableau visualization affect performance?

Fewer marks mean less data to process and draw, which speeds up rendering and improves dashboard responsiveness.

intermediate

Why should you limit the use of complex calculations in Tableau dashboards?

Complex calculations take more time to compute, which can slow down dashboard loading and interaction.

intermediate

What is the benefit of using extracts instead of live connections in Tableau?

Extracts store a snapshot of data locally, which can speed up queries and reduce load on the original data source.

beginner

How can dashboard design impact Tableau performance?

Simple, clean dashboards with fewer filters and quick filters, and optimized layouts load faster and respond better.

Which action can improve Tableau dashboard performance the most?

A Adding more filters to the dashboard

B Reducing the number of marks in visualizations

C Using complex nested calculations

D Increasing the number of worksheets

Reducing marks lowers the data Tableau needs to process, speeding up performance.

What is a key advantage of using Tableau data extracts?

A They always show real-time data

B They require a live internet connection

C They reduce load on the original data source

D They increase dashboard complexity

Extracts store data locally, reducing queries to the original source and improving speed.

Why should you avoid too many quick filters in Tableau dashboards?

A They reduce data security

B They make dashboards look messy

C They increase data accuracy

D They slow down dashboard loading and interaction

Each quick filter adds processing load, which can slow down performance.

Which of these is NOT a good practice for improving Tableau performance?

A Using many complex calculated fields

B Limiting the number of marks in visualizations

C Using extracts instead of live connections when possible

D Designing simple dashboards with fewer filters

Complex calculations increase processing time and slow performance.

What does 'reducing the number of marks' mean in Tableau?

A Showing fewer data points on a chart

B Deleting worksheets

C Removing filters

D Increasing data refresh frequency

Marks are data points; fewer marks mean less data to process and faster rendering.

Explain three ways to improve Tableau dashboard performance.

Think about data size, calculations, and dashboard layout.

Describe why using live connections might slow down Tableau dashboards compared to extracts.

Consider how data is accessed and processed.